Upstream Vendor Lock-In Patterns That Compound When Your Retrieval Layer Wraps a Search Engine
Wrapping upstream search APIs creates hidden dependencies that compound across your entire stack.
Mirela Ostrowski
Section
Search Architecture
10 stories in Search Architecture.
Infrastructure Control Planes in Web Retrieval and What They Mean for AI Data Quality
Controlling web retrieval infrastructure determines AI reasoning quality more than model capability.
Mirela Ostrowski
Grounding Architecture Tradeoffs When AI Agents Depend on Live Web Retrieval
Design passage-level retrieval to manage latency, freshness, and context costs together.
Priya Subramaniam
Relevance Ranking Signals for AI Consumers vs. Human Searchers
AI systems need relevance signals built for token extraction, not human clicks.
Tobias Wren-Castillo
Throughput Scaling for High-Volume AI Agent Deployments
Most AI agent pilots fail at scale due to infrastructure, not model capability.
Mirela Ostrowski
Retrieval Latency Budgets in Multi-Step Agentic Workflows
Breaking retrieval into measurable stages reveals where latency actually accumulates in agent loops.
Mirela Ostrowski
Structured Output Contracts in Web Retrieval APIs
Defining output contracts prevents LLM extraction failures from cascading through RAG pipelines.
Tobias Wren-Castillo
SERP Snippet Depth and Why It Fails Production AI
Shallow SERP snippets cause AI retrieval failures that no prompt fix can solve.
Tobias Wren-Castillo
Web Retrieval API Design Principles for LLMs
Models fail on stale data, not reasoning power.
Mirela Ostrowski
Full Pipeline Ownership vs. Third-Party API Wrapping
Building your pipeline beats wrapping APIs when retrieval quality matters.
Priya Subramaniam